Some AI researchers have taken to calling certain LLMs ‘Shoggoths.’ Be afraid. Be very afraid.

Have you ever wondered what China and Russia would talk about if they were to discuss AI in healthcare? It turns out they do just that—and a newly published academic paper straight out of the Russian Federation offers a glimpse into the dialogue.  

Patients who put some personality into their symptom descriptions may flummox large language models—to unfortunate effect.

Research into the design and development of AI models for rural healthcare isn’t hard to come by. However, that’s about as far as most of the investigations go. 

The U.S. is one of 23 countries that consider workforce AI training and education only a medium priority. Indeed, our homeland has a less detailed plan than 13 other nations.

A primary aim of medical humanities as a field today is teaching medical students how to harmonize technological innovations with care models such that patients are treated as whole persons: They have not just bodies but also minds, relationships—and lives. 

Federal lawmakers have a fresh resource to keep them up on healthcare AI that falls outside of formal FDA oversight. It comes in the form of a new report from the nonprofit Bipartisan Policy Center.

Patients who frequently use AI tend to readily trust AI-assisted diagnoses made by their physicians. Counterintuitively, however, those who would rank themselves among the very best-informed about AI tend to mistrust such diagnoses.